Automated digital magazine generation electronic publishing platform

ABSTRACT

Disclosed herein is a web user experience improvement for digital magazines. A digital magazine viewing platform is integrated with a digital magazine publishing platform including features that leverage the integration including automated generation of digital magazine documents from a set of input images and search engine crawlable magazine presentation pages, a machine learning model categorizes magazine styles and present publishing features based on those magazines viewed or subscribed to by a given user.

CROSS REFERENCE

This application is a continuation-in-part of U.S. patent application Ser. No. 18/178,861, filed Mar. 6, 2023, which is a continuation of U.S. patent application Ser. No. 17/650,481, filed Feb. 9, 2022, now U.S. Pat. No. 11,620,433, which is a continuation of U.S. patent application Ser. No. 17/175,458, filed Feb. 12, 2021, now U.S. Pat. No. 11,281,844, which claims the benefit of U.S. Provisional Patent Application No. 63/018,283, filed on Apr. 30, 2020, which are incorporated herein by reference in their entireties.

BACKGROUND

On-line content is readily available. For example, digital magazine publishing applications exist (e.g., Issuu) and provide an electronic publishing platform with some basic features. Additionally, there are basic digital magazine viewers (e.g., Zinio) that provide some basic multi-platform distribution service for digital magazines. These services, and others, offer some basic features in isolation and there is a need for improvements to existing platforms.

BRIEF DESCRIPTION OF THE DRAWINGS

One or more embodiments of the present disclosure are illustrated by way of example and not limitation in the figures of the accompanying drawings, in which like references indicate similar elements.

FIG. 1 is an activity diagram that shows the flow once the user initiates their platform session;

FIG. 2 is a deployment diagram showing the composition of the platform within servers and clients, the communication protocol, and how the entities interact;

FIG. 3 is a block diagram showing technologies and versions to incorporate in embodiments of the invention;

FIG. 4 is a block diagram showing platform programming classes;

FIG. 5 is block diagram showing platform components;

FIG. 6 is a block diagram showing platform communications;

FIG. 7 is a block diagram showing platform sequences;

FIG. 8 shows a first design made for the main landing page;

FIG. 9 shows a second user interface and user experience design for main landing page;

FIG. 10 shows a third version of user interface and user experience of the main landing page;

FIG. 11 shows all the user experience and design of each of the step the user takes in the mobile application;

FIG. 12 shows a design implemented in the Easy Builder;

FIG. 13 shows a screenshot of the Advanced Builder, the second editor with a more resources and tools for customizing a magazine;

FIGS. 14-20 are screenshots showing of the first block diagrams defining the user experience in connection with platform;

FIG. 21 is a screenshot of the viewing platform controls that enable flipping pages of the digital magazine documents via partial dragging;

FIGS. 22-23 are screenshots of implementation of a rip control;

FIG. 24 is a flowchart illustrating automated generation of a magazine document; and

FIG. 25 shows a diagrammatic representation of a machine in the example form of a computer system within which a set of instructions for causing the machine to perform one or more of the methodologies discussed herein may be executed.

DETAILED DESCRIPTION

Various example embodiments will now be described. The following description provides certain specific details for a thorough understanding and enabling description of these examples. One skilled in the relevant technology will understand, however, that some of the disclosed embodiments may be practiced without many of these details.

Likewise, one skilled in the relevant technology will also understand that some of the embodiments may include many other obvious features not described in detail herein. Additionally, some well-known structures or functions may not be shown or described in detail below, to avoid unnecessarily obscuring the relevant descriptions of the various examples.

The terminology used below is to be interpreted in its broadest reasonable manner, even though it is being used in conjunction with a detailed description of certain specific examples of the embodiments. Indeed, certain terms may even be emphasized below; however, any terminology intended to be interpreted in any restricted manner will be overtly and specifically defined as such in this Detailed Description section.

In the background a publishing platform and a viewer platform are identified separately. No prior platform integrates these features (publishing and viewing). Further, additional features are enabled when the same platform integrates publishing and viewing features. Examples of integrated features include the rip feature that takes a page from a digital magazine from the viewer and enables that page for use in the publisher. Similarly, in some embodiments, a given user's viewing habits (e.g., likes, preferences, magazines viewed) influences templates most readily available in the publisher features.

Electronic Publishing/Viewing Platform

Reader—People that enter the platform to read and explore. They find other quality content by creators, family, and friends.

Creators—Creators that open an account want to create a magazine in the less amount of time and effort possible. With the publishing platform, it is quick and easy to publish a magazine.

Advanced Creators—Creators who want to create their own magazine design. They want more options for their design and to reach another type of community.

Advertisers—Brands and people who want to target the reader community, with quality brand exposure.

Known platforms are Business-to-Business, while the magazine publisher/viewer platform is direct to consumers and companies. Thus, the magazine publisher/viewer platform, due to its approach and technology, empowers everyone to become a magazine creator. The present platform is the only platform with a complete creation experience, including an easy builder (Easy as 1,2,3), an advanced builder (more tools and flexibility), and a mobile application. In the magazine publisher/viewer platform ads are not intrusive. Ads are an inserted page in the magazine. The magazine publisher/viewer platform has no pop-ups; it does not disrupt the reader experience.

The magazine publisher/viewer platform has a unique rip a page feature, where creators can insert rip pages in their magazines. The rip page is credited back to the original creator and cannot be modified. The magazine publisher/viewer platform has an offline reader. In the magazine publisher/viewer platform readers can subscribe to magazine creators and get notified. In the magazine publisher/viewer platform creators can create private accounts and approve magazine readers. This is not an option in other platforms.

The magazine publisher/viewer platform optimizes pages to index in search engines. Comparatively, companies with other platforms have to hire magazine indexing services to position their magazines. Each page of the magazines available on the viewer platform includes a crawlable web address. The text on the pages is available for search engine crawlers. Images are tagged with searchable metadata that similarly enables search engine indexing.

Most of the online magazine builders charge a very high licensing fee. In the magazine publisher/viewer platform, ad revenue is shared with creators, such as YouTube.

FIG. 1 is an activity diagram that shows the flow once the user initiates their platform session. In step 102, a user opens the application. In step 104 where the user has not already registered, the user is guided through registration to create a user profile where published digital magazine documents are stored as associated therewith. Once the account is created, in step 106, in some embodiments, the account coordinates with a firebase authorization scheme. In step 108, the platform performs a form registration. In step 110, once registration is complete, the application starts. Where registration has been completed already, in step 112, the user enters the application with a registration and proceeds to step 110.

FIG. 2 is a deployment diagram showing the composition of the platform within servers and clients, the communication protocol, and how the entities interact. In some embodiments, a cloud server 202 enables authentication procedures for users via native authentication support and further provides backend server services to administrate the application. A client application reader for relevant operating systems (e.g., iOS, Android, browser-based) 204, 206, 208 engages with the cloud authentication and execute the application locally on a user device.

FIG. 3 is a block diagram showing technologies and versions to incorporate in embodiments of the invention. A backend server 300 may be coded using a number of programming languages and frameworks. For example, the backend server may be programmed using Python, and Django framework. Other examples include Java/Javascript/NodeJS, Kotlin, Go, Swift. A web application 304 may be built using a number of programming languages and tools, such as canvas HTML5, RxJS, React JS, and SASS. A mobile application may be built via a number of programming languages and tools as well, such as Android SDK, Swift Xcode, Native web view, and Native HTTP request.

FIG. 4 is a block diagram showing platform programming classes. In some embodiments, a program construct 400 includes a number of classes with objects and coded methods that, when executed, cause the various components of the disclosed digital magazine platforms to function for users. The classes interconnect and pass input and output therebetween.

FIG. 5 is block diagram showing platform components. Some embodiments of the disclosed platforms include a presentation layer 502, a negotiation layer 504, and a data layer 506. The presentation layer 502 includes user controls and interface components. The negotiation layer 504 controls the elements based on the input received from the user via the interface. The data layer 506 generates the content that is employed by other layers.

FIG. 6 is a block diagram showing platform communications. A given user, via the interface is enabled to access the platform via a user authentication flow 602. Once the user has accessed the platform, they may modify their user profile via a user profile flow 604. Further, once the user has accessed the platform, they are enabled to create digital magazines via a create magazine flow 606.

FIG. 7 is a block diagram showing platform sequences. The platform includes a number of sequences including “view magazine” 702, “download magazine” 704, validate user 706, and “create magazine” 708. These processes interact with a number of program constructs: a catalog of magazines 710, local data storage 712, an application program interface 714, and a notification service 716. The processes cross each of the program constructs.

Use Cases

FIG. 8-10 concern the user experience for combining multiple platforms—specifically, a publishing platform and a viewing platform, in some implementations, the combination is done with a reader search feature. FIG. 11 shows all the user experience and design of each of the step the user takes in the mobile application.

FIGS. 12-23 concern the UX for publishers, in which FIG. 12 shows the design implemented in the Easy Builder (Easy as 1,2,3), FIG. 13 shows a screenshot of the Advanced Builder, the second editor with a more resources and tools for customizing a magazine, and FIGS. 14-20 are screenshots of the first block diagrams defining the UX for a content publisher in connection with platform. FIGS. 21 to 23 illustrate the implementation of the page turning and rip features.

FIG. 8 shows a first design made for the main landing page of a viewer platform 800. The main landing page connects users to digital magazine documents based on a set of categorical filters 802 and/or user-based subscriptions 804.

FIG. 9 shows a second user interface and user experience design for main landing page 900. The second user interface 900 connects users between two platforms: a digital magazine publishing platform 902 that enables users to design a digital layout of digital magazine documents including a plurality of templates and art controls, and a digital magazine viewer platform 906 that enables users to browse the digital magazine documents via flipping digital pages. The plurality of flippable pages include content. The landing page 900 includes a number of suggested digital magazine documents to select for viewing via the digital magazine viewer platform 906. The depicted landing page connects the two platforms together in a single unified experience on a single web browser instance using the same user login information. The flippable pages displayed on the viewer platform include a crawlable web address. In some embodiments the pages are present on the webpage as both a graphic element that is displayed, and a set of crawlable metadata linked to the graphic element. In some embodiments, the text of the pages is displayed and selectable, but a graphic element warps the display of the text to appear as a flappable page. The text on the pages is available for search engine crawlers. Images are tagged with searchable metadata that similarly enables search engine indexing.

FIG. 10 shows a third version of user interface and user experience of the main landing page 1000. The third landing page 1000 performs a similar function as the second landing page 900, and further includes a unified experience connecting the publishing platform 1002 and the viewing platform 1004.

FIG. 11 shows an expanded user experience and design of each of the step the user takes in the mobile application. FIG. 11 further displays implementation of privacy controls and user account customization.

FIG. 12 shows the design implemented in the Easy Builder 1200 (an implementation of the publishing platform). The easy builder 1200 includes a magazine preview pane 1202 that illustrates what the user's in-progress digital magazine layout will look like. The easy builder 1200 further includes custom user assets 1204 such as images, files, video, rips (as obtained from other published magazines), and other media that has been selected by the specific logged in user.

The easy builder 1200 further includes premade templates 1206 for magazine pages. The premade templates 1206 are organized into groups according to expected usage in the magazine (e.g. front/back covers, indexes, etc.). In some embodiments the templates 1206 are further organized by stylistic choices (e.g., classy, modern, family, teen, etc.). In some embodiments the stylistic choices and organized via a viewing history of the user on the viewing platform. Magazine styles that are viewed more often or that the user is subscribed to are given greater prominence in the user experience (e.g., given a different ordering and position in the publishing platform).

Magazine styles are identified from public, published digital magazine documents via metadata tags applied to the digital magazine documents or a trained machine learning model. The metadata tags are placed on the premade templates. When a user generates a magazine from templates, the metadata tags stay through to the published magazine document. During creation, where as user modifies a threshold number of elements from a given template, the metadata tags are removed as the current design may no longer resemble the originating template.

Where no such tags are available (e.g., because the template has been modified too greatly, or the design is custom), a machine learning model compares the page to training data pages to identify a style for the page and/or magazine as a whole. The model is trained based on other published magazine documents and validated using existing metadata tags. The training data makes an assumption that pages within the same magazine tend to be of similar styles and thus the training algorithm weights in favor tags that appear on any page of a given magazine.

The machine learning model does not specifically have to rely on metadata tags. In some embodiments of the model, the model identifies similarity between magazine styles and does not identify put any particular labels on the classifications. Some magazine styles are merely identified as more like than others.

FIG. 13 shows a screenshot of the Advanced Builder 1300, the second editor with a more resources and tools for customizing a magazine. Similar to the easy builder 1200, the advanced builder 1300 includes a magazine preview pane 1302 that illustrates what the user's in-progress digital magazine layout will look like. The primary distinction between the advanced builder 1300 and the easy builder 1200 is the custom asset pane 1304. The custom asset pane 1304 enables the user to builder their own graphics and styles. Over time, the elements used to develop custom styles are evaluated by the machine learning model and those elements used in certain combinations become associated with particular styles that the trained machine leaning model can identify.

FIGS. 14-20 are screenshots showing of the first block diagrams defining the user experience in connection with platform. FIG. 14 illustrates a login page. FIG. 15 is a generic publishing platform interface 1500. The generic publishing platform interface 1500 includes a set of pre-made templates 1502 and a set of user-specific content 1504.

FIG. 16 illustrate a generic advanced publishing interface 1600. The generic advanced publishing interface 1600 include a preview pane 1602, a set of customization controls 1604, and the content elements relating to a currently selected customization control 1606. One of the customization controls 1604 is a rip feature 1608. The customization controls 1604 include a number of different features to customize a given magazine in the publisher. The rip feature 1606 enables a user to take pages or content elements from published digital magazine documents that user found while viewing the magazine content of others. While on the viewer platform, a user may “rip” a page from a magazine they are viewing. While in the publishing platform, the user of the publishing platform is enabled to insert the ripped page or ripped content into their draft digital magazine document.

In some embodiments, the ripped pages/content are broken into editable chunks in the manner that the page was originally created in another user's publishing platform. In other embodiments the ripped pages/content are not editable and present as exactly matching the magazine from which they were ripped either at the time of ripping or at present. Digital magazine documents may be modified at any time by the original user that created them. In this way, ripped content that has been edited or deleted (e.g., because the page or whole magazine has been removed) triggers an alert to the user who ripped the content in order to indicate that their digital magazine includes broken links.

FIG. 17 illustrates an ad space element 1700 that users (or the platform) are enabled to insert into their digital magazine document. The ad space element 1700 enables monetization to be deployed by the user or platform. Physical magazines have long since employed the use of ad pages, but digital magazines have not. A viewer/reader platform in a digital magazine has not previously employed web page ad space that may be subject to Internet advertisement auctions. Page space in digital magazine have not previously made use of dynamic ad space. The online system holds content auctions on a revolving continuous basis for each of the available slots. Each slot goes to content based on bid value and overall quality score of the content using allocation schemes.

Pages are configured using a number of different promoted content loads and each are evaluated for utility. The allocation of page content prioritizes highest utility, measured in converted units that consider user experience, relation of promoted content to original user dictated parameters, and value offered by promoters. The auctions are on an ad-hoc, individual user basis. The ad space favors content that is germane to the current digital magazine and is further influenced by Internet cookies of the viewing user. When a publishing user inserts ad space into their digital magazine layout, that user is unaware of what specific ads will appear in that space for the various users who view their digital magazine. That content is filled in at run-time when the specific page is loaded for a viewing user.

As noted above, the ad space favors auction content that is similar to the stylistic choices of the current digital magazine. For example, a family centric digital magazine would devalue violent content and instead family related content (e.g., coupons to a pizza restaurant).

FIG. 18 illustrates an interface for adding text elements in multiple fonts to the digital magazine. FIG. 19 illustrates the addition of background colorings to a digital magazine document. FIG. 20 illustrates importing media elements from external web platforms such as social media sources. Once a user is satisfied with the digital magazine, they have built in the publishing platform, they may publish 2000 that digital magazine. Activating the publish control 2000 makes the digital magazine automatically searchable and viewable on the viewer platform right away. In this way the publish is enabled to both design and create a digital magazine, and then immediately obtain some degree of circulation based on being searchable and indexed via stylistic meta tags and/or machine learning model style guides.

FIG. 21 is a screenshot of the viewing platform controls 2100 that enable flipping pages of the digital magazine documents via partial dragging. The screenshot includes a first page 2102 and a second, opposite page 2104. The digital pages are two-sided, each opposite the other (as are real pages). To flip from one page to the next a user employs their cursor 2106 to drag the pages. The degree or extent of the page flipping is based on how fast and far the user has moved their cursor 2106. The cursor 2106 may either advance or flip back the page based on the direction of movement by the user. As the page begins to flip, the web element of the page displays the content of the next page advancing at the rate the user moves their cursor 2106.

FIGS. 22-23 are screenshots of implementation of a rip control 2200. In FIG. 22 , the rip control 2200 is implemented in the “binding” of the digital magazine. Where the viewing user hover's their cursor over the binding, a scissors icon appears that enable ripping all or part of the current page. In FIG. 23 , once completed, the viewing platform indicates 2300 that the rip was successful, and that content will appear in that user's publisher platform interface.

FIG. 24 is a flowchart illustrating execution of an automated magazine generation tool. In step 2402, a user engages with the builder platform by providing a plurality of image files. The image files are uploaded to the platform via the user's device and/or a connection to a cloud data repository.

In step 2404, a computer vision model is applied to the plurality of images. The computer vision model is configured to identify any of: (1) content of individual images including people and/or places (2) themes within the images (3) color schemes and/or (4) patterns in content positioning across the plurality of images. Arrangement of the computer vision model includes any of image segmentation, object detection, facial recognition, edge detection, pattern detection, image classification, and feature matching. Examples of architecture of the computer vision models include convolutional neural networks and/or few shot networks. In some embodiments the computer vision model is accessed via an Internet API.

In some embodiments, step 2404 makes use of a reduced computer vision cycle which orders the plurality of images based on a predetermined schema. Examples of the predetermined schema include sorting based on image metadata, sorting based on size or dimensions (as fitting to image slots in a given magazine template), and sorting based on image title.

In step 2406, the computer vision model generates metadata regarding the content of the images individually and/or as a set (or subset). In step 2408, the builder platform sorts the images by the metadata from the computer vision model. In step 2410, the builder platform identifies user account level preferences with respect to magazine template and style use. In step 2412, the builder model inserts the sorted images into a magazine template. The magazine template chosen is based on user account level preferences if available and default choices if the user account level preferences are not available or otherwise disabled.

Default choices are determined from a heuristic based on what was identified via the computer vision model. The identified content of the plurality of images has a confidence or strength determination relating to themes or content within the images. That confidence determination is routed through a set of predetermined rules to identify a template or scheme within the builder platform to use.

In step 2414, the builder platform displays a draft automatically generated magazine to the user based on the plurality of images. In step 2416, the builder platform receives input from the user to publish the draft magazine and the magazine is shifted to the viewer platform.

Computer System

FIG. 25 is a block diagram of a computer 2500 operable to implement the disclosed technology according to some embodiments of the present disclosure. The computer 2500 may be a generic computer or specifically designed to carry out features of translation system 20. For example, the computer 2500 may be a system-on-chip (SOC), a single-board computer (SBC) system, a desktop or laptop computer, a kiosk, a mainframe, a mesh of computer systems, a handheld mobile device, or combinations thereof.

The computer 2500 may be a standalone device or part of a distributed system that spans multiple networks, locations, machines, or combinations thereof. In some embodiments, the computer 2500 operates as a server computer or a client device in a client—server network environment, or as a peer machine in a peer-to-peer system. In some embodiments, the computer 2500 may perform one or more steps of the disclosed embodiments in real time, near real time, offline, by batch processing, or combinations thereof.

As shown in FIG. 25 , the computer 2500 includes a bus 2502 that is operable to transfer data between hardware components. These components include a control 2504 (e.g., processing system), a network interface 2506, an input/output (I/O) system 2508, and a clock system 2510. The computer 2500 may include other components that are not shown nor further discussed for the sake of brevity. One who has ordinary skill in the art will understand elements of hardware and software that are included but not shown in FIG. 25 .

The control 2504 includes one or more processors 2512 (e.g., central processing units (CPUs)), application-specific integrated circuits (ASICs), and/or field-programmable gate arrays (FPGAs), and memory 2514 (which may include software 2516). For example, the memory 2514 may include volatile memory, such as random-access memory (RAM), and/or non-volatile memory, such as read-only memory (ROM). The memory 2514 can be local, remote, or distributed.

A software program (e.g., software 2516), when referred to as “implemented in a computer-readable storage medium,” includes computer-readable instructions stored in the memory (e.g., memory 2514). A processor (e.g., processor 2512) is “configured to execute a software program” when at least one value associated with the software program is stored in a register that is readable by the processor. In some embodiments, routines executed to implement the disclosed embodiments may be implemented as part of an operating system (OS) software (e.g., Microsoft Windows® and Linux®) or a specific software application, component, program, object, module, or sequence of instructions referred to as “computer programs.”

As such, the computer programs typically comprise one or more instructions set at various times in various memory devices of a computer (e.g., computer 2500), which, when read and executed by at least one processor (e.g., processor 2512), will cause the computer to perform operations to execute features involving the various aspects of the disclosed embodiments. In some embodiments, a carrier containing the aforementioned computer program product is provided. The carrier is one of an electronic signal, an optical signal, a radio signal, or a non-transitory computer-readable storage medium (e.g., memory 2514).

The network interface 2506 may include a modem or other interfaces (not shown) for coupling the computer 2500 to other computers over the network 2520. The I/O system 2508 may operate to control various I/O devices, including peripheral devices, such as a display system 2518 (e.g., a monitor or touch-sensitive display) and one or more input devices 2520 (e.g., a keyboard and/or pointing device). Other I/O devices 2522 may include, for example, a disk drive, printer, scanner, or the like. Lastly, the clock system 2510 controls a timer for use by the disclosed embodiments.

Operation of a memory device (e.g., memory 2524), such as a change in state from a binary one (1) to a binary zero (0) (or vice versa) may comprise a visually perceptible physical change or transformation. The transformation may comprise a physical transformation of an article to a different state or thing. For example, a change in state may involve accumulation and storage of charge or a release of stored charge. Likewise, a change of state may comprise a physical change or transformation in magnetic orientation or a physical change or transformation in molecular structure, such as a change from crystalline to amorphous or vice versa.

Aspects of the disclosed embodiments may be described in terms of algorithms and symbolic representations of operations on data bits stored in memory. These algorithmic descriptions and symbolic representations generally include a sequence of operations leading to a desired result. The operations require physical manipulations of physical quantities. Usually, though not necessarily, these quantities take the form of electric or magnetic signals that are capable of being stored, transferred, combined, compared, and otherwise manipulated. Customarily, and for convenience, these signals are referred to as bits, values, elements, symbols, characters, terms, numbers, or the like. These and similar terms are associated with physical quantities and are merely convenient labels applied to these quantities.

While embodiments have been described in the context of fully functioning computers, those skilled in the art will appreciate that the various embodiments are capable of being distributed as a program product in a variety of forms and that the disclosure applies equally, regardless of the particular type of machine or computer-readable media used to actually effect the embodiments.

Remarks

The above description and drawings are illustrative and are not to be construed as limiting. Numerous specific details are described to provide a thorough understanding of the disclosure. However, in certain instances, well-known details are not described in order to avoid obscuring the description. Further, various modifications may be made without deviating from the scope of the embodiments.

Reference in this specification to “one embodiment” or “an embodiment” means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the disclosure. The appearances of the phrase “in one embodiment” in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Moreover, various features are described which may be exhibited by some embodiments and not by others. Similarly, various requirements are described which may be requirements for some embodiments but not for other embodiments.

The terms used in this specification generally have their ordinary meanings in the art, within the context of the disclosure, and in the specific context where each term is used. Certain terms that are used to describe the disclosure are discussed above, or elsewhere in the specification, to provide additional guidance to the practitioner regarding the description of the disclosure. For convenience, certain terms may be highlighted, for example using italics and/or quotation marks. The use of highlighting has no influence on the scope and meaning of a term; the scope and meaning of a term is the same, in the same context, whether or not it is highlighted. It will be appreciated that the same thing can be said in more than one way. One will recognize that “memory” is one form of a “storage” and that the terms may on occasion be used interchangeably.

Consequently, alternative language and synonyms may be used for any one or more of the terms discussed herein, nor is any special significance to be placed upon whether or not a term is elaborated or discussed herein. Synonyms for certain terms are provided. A recital of one or more synonyms does not exclude the use of other synonyms. The use of examples anywhere in this specification including examples of any term discussed herein is illustrative only and is not intended to further limit the scope and meaning of the disclosure or of any exemplified term. Likewise, the disclosure is not limited to various embodiments given in this specification.

Without intent to further limit the scope of the disclosure, examples of instruments, apparatus, methods and their related results according to the embodiments of the present disclosure are given above. Note that titles or subtitles may be used in the examples for convenience of a reader, which in no way should limit the scope of the disclosure. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure pertains. In the case of conflict, the present document, including definitions will control it is to be understood that embodiments may include performing operations and using storage with cloud computing. For the purposes of discussion herein, cloud computing may mean executing algorithms on any network that is accessible by Internet-enabled or network-enabled devices, servers, or clients and that do not require complex hardware configurations, e.g., requiring cables and complex software configurations, e.g., requiring a consultant to install. For example, embodiments may provide one or more cloud computing solutions that enable users, e.g., users on the go, to access real-time video delivery on such Internet-enabled or other network-enabled devices, servers, or clients in accordance with embodiments herein. It further should be appreciated that one or more cloud computing embodiments include real-time video delivery using mobile devices, tablets, and the like, as such devices are becoming standard consumer devices. 

1. A method comprising: generating an integrated digital magazine platform that incorporates a magazine publisher and a magazine viewer on a single web browser instance, the integrated digital magazine platform configured to display a user interface of integrated content; receiving, by the magazine publisher of the integrated content, a set of images; automatically determining, via a computer vision model, a characteristic of the set of images; automatically arranging the set of images into a digital magazine template based on the characteristic; and publishing a digital magazine document based on the digital magazine template with the arranged set of images.
 2. The method of claim 1, wherein the characteristic is any of: (a) content of individual images of the set of images including any of people or places; (b) themes within the set of images; (c) color schemes within the set of images; or (d) patterns in content positioning across the set of images.
 3. The method of claim 1, further comprising: receiving user profile data associated with an active user; and determining the digital magazine template from a plurality of magazine templates based on the user profile data, and wherein said automatically arranging is further based on the user profile data.
 4. The method of claim 1, wherein the automatic arranging modifies the digital magazine template based on a viewing history of an active user on the magazine viewer of the integrated digital magazine platform.
 5. The method of claim 1, further comprising: determining the digital magazine template from a plurality of magazine templates based on a heuristic applied based on an output of the computer vision model and the characteristic of the set of images.
 6. The method of claim 1, wherein the magazine viewer of the integrated content displays the digital magazine document including a plurality of flippable pages including content, and wherein each of the plurality of flippable pages includes a crawlable web address and including crawlable text.
 7. The method of claim 6, further comprising: inserting crawlable metadata text associated with the set of images based on output of the computer vision model and the characteristic of the set of images.
 8. A system comprising: a processor; a non-transitory computer-readable medium having stored thereon instructions that, when executed by the processor, cause the processor to perform operations including: generate an integrated digital magazine platform that incorporates a magazine publisher and a magazine viewer on a single web browser instance, the integrated digital magazine platform configured to display a user interface of integrated content; receive, by the magazine publisher of the integrated content, a set of images; automatically determine, via a computer vision model, a characteristic of the set of images; automatically arrange the set of images into a digital magazine template based on the characteristic; and publish a digital magazine document based on the digital magazine template with the arranged set of images.
 9. The system of claim 8, wherein the characteristic is any of: (a) content of individual images of the set of images including any of people or places; (b) themes within the set of images; (c) color schemes within the set of images; or (d) patterns in content positioning across the set of images.
 10. The system of claim 8, the instructions further comprising: receiving user profile data associated with an active user; and determining the digital magazine template from a plurality of magazine templates based on the user profile data, and wherein said automatically arranging is further based on the user profile data.
 11. The system of claim 8, wherein the automatic arranging modifies the digital magazine template based on a viewing history of an active user on the magazine viewer of the integrated digital magazine platform.
 12. The system of claim 8, the instructions further comprising: determining the digital magazine template from a plurality of magazine templates based on a heuristic applied based on an output of the computer vision model and the characteristic of the set of images.
 13. The system of claim 8, wherein the magazine viewer of the integrated content displays the digital magazine document including a plurality of flippable pages including content, and wherein each of the plurality of flippable pages includes a crawlable web address and including crawlable text.
 14. The system of claim 13, the instructions further comprising: inserting crawlable metadata text associated with the set of images based on output of the computer vision model and the characteristic of the set of images.
 15. A computer-readable storage medium, excluding transitory signals and carrying instructions, which, when executed by at least one processor, cause a system to: generating an integrated digital magazine platform that incorporates a magazine publisher and a magazine viewer on a single web browser instance, the integrated digital magazine platform configured to display a user interface of integrated content; receiving, by the magazine publisher of the integrated content, a set of images; automatically determining, via a computer vision model, a characteristic of the set of images; automatically arranging the set of images into a digital magazine template based on the characteristic; and publishing a digital magazine document based on the digital magazine template with the arranged set of images.
 16. The computer-readable storage medium of claim 15, wherein the characteristic is any of: (a) content of individual images of the set of images including any of people or places; (b) themes within the set of images; (c) color schemes within the set of images; or (d) patterns in content positioning across the set of images.
 17. The computer-readable storage medium of claim 15, further comprising: receiving user profile data associated with an active user; and determining the digital magazine template from a plurality of magazine templates based on the user profile data, and wherein said automatically arranging is further based on the user profile data.
 18. The computer-readable storage medium of claim 15, wherein the automatic arranging modifies the digital magazine template based on a viewing history of an active user on the magazine viewer of the integrated digital magazine platform.
 19. The computer-readable storage medium of claim 15, further comprising: determining the digital magazine template from a plurality of magazine templates based on a heuristic applied based on an output of the computer vision model and the characteristic of the set of images.
 20. The computer-readable storage medium of claim 15, wherein the magazine viewer of the integrated content displays the digital magazine document including a plurality of flippable pages including content, and wherein each of the plurality of flippable pages includes a crawlable web address and including crawlable text. 